Tracking Customer Activity with Time in Product

the amount of time users spend in your product is an important indicator of their health, especially if there are areas of your platform that don’t require action from your customers (such as dashboards, reports, etc ) how to send time in product the technical documentation for tracking the time in product can be found https //docs custify com/#section/javascript/send data using the javascript snippet active time in product is recorded when a user performs one of the following actions mouse movement click scroll keyboard input if no action is detected in the preset idle time of 60 seconds, time capture stops you can choose if you want to track the time in product only on one or more pages of your product how to see time in product in custify once you start tracking the time in product, you can access this information in several modules within custify default metrics two default metrics will be available on the metrics list (within https //kb custify com/customer list view or https //kb custify com/customer 360 profile ) time in product past 30 days time in product yesterday both values are displayed in seconds usage tab you have a detailed graph with the time spent in product by the users in the last 30 days in the customer 360° profile — usage tab you can check the time spent every day, detailed per module calculated metrics within the https //kb custify com/calculated metrics feature, you have a variety of operations that help you track the time in product you can choose the number of days you want to track and filter the time by module you can also use the data in combined metrics to transform the seconds into hours (to make it easier for your team to track the values) time in product setup suggestions normalize the time in product if you want to use time in product metrics for building https //kb custify com/health scores , it is recommended to normalize the values expected time in product depends on different variables, such as the number of users, number of active users in the last x days, number of admins, and so on use this metric to get an average value for the time in product as a common denominator for all customers you can build this inside the calculated metrics create trends another way of normalizing the value of time in product is to create https //www custify com/kb/knowledgebase/usage trends/ based on it this will reflect if the usage is constant week after week/month after month, allowing you to easily track decreases subsequently, you can turn these insights into https //kb custify com/playbooks that alert your cs team, send emails to your clients, and so on track the time in product per module if there are pages within your product that carry a critical importance health wise, you can create a separate calculated metric for them you can use playbooks to send alerts to your cs team when the time in product per specific page drops to or close to 0